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Summary
| Description | Output of Craiyon (formerly "DALL-E Mini"). See the model card for information on the model used. Specifically (from the title card): "Images are encoded through a VQGAN encoder, which turns images into a sequence of tokens. Descriptions are encoded through a BART encoder. The output of the BART encoder and encoded images are fed through the BART decoder, which is an auto-regressive model whose goal is to predict the next token. Loss is the softmax cross-entropy between the model prediction logits and the actual image encodings from the VQGAN." Upscaled using Real-ESRGAN. | |||
| Source | craiyon.com | |||
| Author | Craiyon | |||
| Permission (Reusing this file) |
Public domain | |||
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Licensing
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This file is in the public domain because it is the work of a computer algorithm or artificial intelligence and does not contain sufficient human authorship to support a copyright claim.
 The United Kingdom (legislation) and Hong Kong (legislation) provide a limited term of copyright protection for computer-generated works of 50 years from creation.
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Legal disclaimer Most image-generating AI models were trained using works that are protected by copyright. In some cases, such assets and models can produce images that contain major copyrightable elements of those copyrighted training images, making these outputs derivative works. Accordingly, there is a risk that AI-generated art uploaded on Commons may violate the rights of the authors of the original works. See Commons:AI-generated media for additional details.
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File history
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 07:07, 28 July 2022 | | 500 × 500 (485 KB) | JPxG | File:Discussionreport-collage2.png cropped 35 % horizontally, 2 % vertically using CropTool with precise mode. |
File usage
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